Liang Dongshuang, Wen Haosong, Zhou Yaxuan, Wang Taohong, Jia Guangqun, Cui Zongyan, Li Adan
Hebei Key Laboratory of Applied Chemistry, College of Environmental and Chemical Engineering, Yanshan University, Qinhuangdao, China.
Technology Center of Qinhuangdao Customs, Qinhuangdao, China.
J Sci Food Agric. 2023 Dec;103(15):7631-7642. doi: 10.1002/jsfa.12850. Epub 2023 Jul 19.
Honey aroma is one of its most important properties and it depends on the qualitative and quantitative composition of the volatile compounds. The volatile profile of honey could reveal its botanical origin to avoid a false characterization. Thus, it is of great significance to honey authentication. This study developed and validated a headspace solid-phase microextraction and gas chromatography-mass spectrometry (HS-SPME-GC-MS) method for simultaneous qualitative and quantitative analyses of 34 volatile components in honey. The developed method was applied to 86 honey samples from six different botanical origins, including linden honey, rape honey, jujube honey, vitex honey, lavender honey and acacia honey.
The volatile fingerprints and quantitative results were simultaneously obtained by using the full scan and selected ion monitoring (SCAN+SIM) MS scanning mode. The limits of quantification (LOQs) and limits of detection (LODs) of 34 volatile compounds were in the ranges of 1-10 ng/g and 0.3-3 ng/g, respectively. And the spiked recoveries ranged between 70.6% and 126.2%, with the relative standard deviations (RSDs) not higher than 45.4%. A total of 98 volatile compounds were found with relative contents determined, and the 34 volatile compounds were determined with absolute concentrations. Based on the volatile fingerprints and the contents of volatile compounds, honey samples from six botanical origins were well classified by principal component analysis and orthogonal partial least-squares discrimination analysis.
The HS-SPME-GC-MS method was successfully applied to achieve the volatile fingerprints of six types of honey and to quantitatively analyze 34 volatile compounds with satisfying sensitivity and accuracy. Chemometrics analysis showed significant correlations between honey types and volatiles. These results reveal the characteristics of volatile compounds in six types of unifloral honey and provide some supports for honey authentication. © 2023 Society of Chemical Industry.
蜂蜜香气是其最重要的特性之一,它取决于挥发性化合物的定性和定量组成。蜂蜜的挥发性成分特征可以揭示其植物来源,以避免错误鉴定。因此,这对蜂蜜的真伪鉴别具有重要意义。本研究开发并验证了一种顶空固相微萃取-气相色谱-质谱联用(HS-SPME-GC-MS)方法,用于同时定性和定量分析蜂蜜中的34种挥发性成分。所开发的方法应用于来自六种不同植物来源的86个蜂蜜样品,包括椴树蜜、油菜花蜜、枣花蜜、荆条蜜、薰衣草蜜和刺槐蜜。
采用全扫描和选择离子监测(SCAN+SIM)质谱扫描模式,同时获得了挥发性指纹图谱和定量结果。34种挥发性化合物的定量限(LOQs)和检测限(LODs)分别在1-10 ng/g和0.3-3 ng/g范围内。加标回收率在70.6%至126.2%之间,相对标准偏差(RSDs)不高于45.4%。共检测到98种挥发性化合物并确定了其相对含量,同时确定了34种挥发性化合物的绝对浓度。基于挥发性指纹图谱和挥发性化合物含量,通过主成分分析和正交偏最小二乘法判别分析对六种植物来源的蜂蜜样品进行了良好的分类。
HS-SPME-GC-MS方法成功应用于获得六种蜂蜜的挥发性指纹图谱,并以令人满意的灵敏度和准确度对34种挥发性化合物进行了定量分析。化学计量学分析表明蜂蜜类型与挥发性成分之间存在显著相关性。这些结果揭示了六种单花蜜中挥发性化合物的特征,为蜂蜜真伪鉴别提供了一定支持。© 2023化学工业协会。